Evaluation of demographic history and neutral parameterization on the performance of F ST outlier tests

F(ST) outlier tests are a potentially powerful way to detect genetic loci under spatially divergent selection. Unfortunately, the extent to which these tests are robust to nonequilibrium demographic histories has been understudied. We developed a landscape genetics simulator to test the effects of isolation by distance (IBD) and range expansion on FST outlier methods. We evaluated the two most commonly used methods for the identification of F(ST) outliers (FDIST2 and BayeScan, which assume samples are evolutionarily independent) and two recent methods (FLK and Bayenv2, which estimate and account for evolutionary nonindependence). Parameterization with a set of neutral loci ('neutral parameterization') always…

• GC
  Genome Canada

  Award: LSARP 2101_161REF
• FG
  Forest Genetics Council of British Columbia
• GB
  Genome British Columbia
• UO
  University of British Columbia
• AI
  Alberta Innovates Bio Solutions
• AI
  Alberta Innovates
• UO
  University of California, Davis